Nicolas Martignole (Le Touilleur Express), co-written with **GLM-5.2** and **MiniMax-M3**, publishes **« The Token Manifesto »**: a pastiche of the **Manifeste Agile** (2001) transposed to the LLM era, where the unit of value is no longer the engineer-hour but the **token**. Four values: *short system prompts over clever system prompts*, *one clear example over three paragraphs of explanation*, *iterating in small steps over dumping the whole spec at once*, *outputting in a defined format over letting the model freestyle*. Twelve principles subvert those of Agile one by one — "simplicity, the art of maximizing the amount of work **not done by the model**," "self-organizing teams that spot repetition and document it once," "regular reflection **before the monthly bill arrives**." Beneath the humor ("staring at a usage bar nervously") lies a serious thesis: the real economic constraint of AI-assisted dev is no longer velocity but the **token budget** and the **context-window economy**. Two punchlines close the text: **« You don't have a prompt problem. You have a context-window problem. »** and **« Everyone's a prompt engineer until they run out of monthly quota. »** Worth noting, the meta wink: a manifesto on token frugality co-written *with* models.
Analysis by **Olivier Rafal** for **WeNvision** (French consulting firm), published on **June 4, 2026** (~4 min read), commenting on the launch of the **Tokenomics Foundation** by the **Linux Foundation** (announced June 3, in partnership with the **FinOps Foundation**), which he sees as the official opening of **the era of "FinOps for AI."** **Pivot thesis**: AI has transformed the economics of software development; the **token** has become *"the new unit of measurement for technology spending,"* mirroring the cloud of the 2010s (**recurring and variable** costs requiring active management), hence the shift by providers from flat-rate pricing to **token-based billing**. **Scale (urgency)**: *"According to Goldman Sachs, global token usage is expected to increase 24-fold by 2030, reaching 120 quadrillion tokens per month"* — an order of magnitude that moves token efficiency from a *"technical detail"* to a **boardroom** topic. Quote from **J.R. Storment** (founder of the FinOps Foundation): *"Token costs and efficiency have become a CEO-level concern, not a technical footnote."* **Transparency/standardization problem**: current AI pricing is not comparable (input tokens / caching systems / output differ from one model to another) → the Tokenomics Foundation aims to **extend the open-source FOCUS specification** to provide a **common language** for purchasing and comparison. **Rafal's central message (beyond cost)**: *"The point of FinOps is not so much to cut costs as to optimize efficiency"* — the real metric is **AI cost relative to business impact** (*time to market, quality, features, eco-design*). **Limits of standards alone**: technical norms are not enough; the **Target Operating Model must be rethought** (teams, processes, data culture, business alignment); Americans are already announcing *"the end of double-pizza teams in favor of sandwich teams."* **Warning marker**: *"an AI-boosted SDLC will merely […] amplify the problems and just help you go faster… into the wall"* (absent organizational foundations). **Foundation sponsors cited**: Accenture, Booking.com, Google Cloud, Microsoft, IBM, Salesforce. **WeNvision's offer**: *"co-build a roadmap, rethink the operating model for the agentic era, and establish the financial governance that has become indispensable."* **French-language reading, aimed at executives/transformation leaders**, of the fiche [[tokenomics-foundation-linux-finops-token-economics-about-2026-06-03]]; converges with the agentic FinOps cluster [[finops-foundation-finops-for-ai-overview-2026-02-17]], finout-finops-ai-agents-four-step-allocation-framework-2026-04-27, gupta-token-budget-wars-marginal-token-utility-2026-05-28 (token→outcome, value > volume).
#Tokenomics Foundation#FinOps for AI#FinOps for AI
**Olivier Rafal** · pour **WeNvision** (cabinet de conseil français — bureaux à Paris, Lille, Strasbourg, Bordeaux, Nantes, Toulouse, Belgique, Luxembourg). Olivier Rafal écrit en analyste/conseil familier des préoccupations de comité de direction (ancien analyste IT, profil conseil-transformation). Publié le **4 juin 2026**.